AI-Driven Forecasting for Inventory Optimization (R² 99.24%)
Hybrid LSTM-GRU models achieving near-perfect accuracy in demand forecasting...
Oracle Cloud Financials Lead • AI Researcher • Digital Transformation Expert
Years Experience
Research Publications
IEEE Publications
Journals Reviewed
Bridging Enterprise ERP Systems and Artificial Intelligence
Senior Oracle Cloud Financials Lead with implementations at Google, Cisco, McGraw Hill, EA Games, and GE Capital. Expert in financial automation and supply chain optimization.
Published researcher in AI-driven ERP optimization. Specializing in LSTM forecasting, neural networks, achieving 99.24% accuracy (R²) in demand forecasting models.
Led enterprise-wide digital transformations across finance, supply chain, and manufacturing. Expert in predictive analytics, cost optimization, and compliance automation.
Hybrid LSTM-GRU models achieving near-perfect accuracy in demand forecasting...
Best practices from Fortune 500 implementations...
35% forecast improvement, 40% better disruption response...
IEEE & Peer-Reviewed Publications
IEEE Publication • R² 99.24% Accuracy
Hybrid LSTM-GRU models achieving near-perfect accuracy on real-world retail datasets...
Published • 30-40% Accuracy Improvement
Integrating economic indicators with real-time Oracle ERP transaction data...
Published • 35% Forecast Improvement
Piloted at McGraw Hill and Cisco, reducing excess inventory by 15%...
Research Publication
Best practices from McGraw Hill and GE Capital multi-terabyte migrations...
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